Sparse sensor placement strategies are applied to reconstruct a region's full-state data
conditioned to a limited number of sensors; particularly, crucial to ocean monitoring systems …

Classical time series analysis methods are not readily applicable to the series with missing
observations. To deal with the missingness in time series, the common approach is to use …

The AMG8833 sensor can be utilized for a low-cost thermal camera-based body
temperature measurement during COVID-19 protocol enforcement. However, the sensor is …

For historic reasons, industrial knowledge of reproducibility and restrictions imposed by
regulations, open-loop feeding control approaches dominate in industrial fed-batch …

Copula functions have been extensively used to describe the joint behaviors of extreme
hydrological events and to analyze hydrological risk. Advanced marginal distribution …

The aims of this study are to investigate the influence of large-scale atmospheric circulation
quantified by indices such as the North Atlantic Oscillation index (NAOI), the Greenland …

This paper concerns the problem of optimal monitoring network layout using information-
theoretical methods. Numerous different objectives based on information measures have …

The correct prediction of heating network pipeline failure rates can increase the reliability of
the heat supply to consumers in the cold season. However, due to the large number of …

Recently, the Entropy Ensemble Filter (EEF) method was proposed to mitigate the
computational cost of the Bootstrap AGGregatING (bagging) method. This method uses the …

The Tsallis entropy and the BKT-like phase transition in the impact parameter space for pp and
collisions - IOPscience Skip to content IOP Science home Accessibility Help Search all …